Top Stories, Jan 9-15: The Most Popular Language For Machine Learning and Data Science; Analytics and Data Science Make Business Smarter

[unable to retrieve full-text content]The Most Popular Language For Machine Learning and Data Science; Analytics and Data Science Make Business Smarter; Exclusive Interview with Jeremy Howard; 5 Machine Learning Projects You Can No Longer Overlook, January
Original Post: Top Stories, Jan 9-15: The Most Popular Language For Machine Learning and Data Science; Analytics and Data Science Make Business Smarter

Top Stories, Jan 2-8: 5 Machine Learning Projects You Can No Longer Overlook, January; Machine Learning and Cyber Security Resources

Previous post Next post    Tags: Top stories 5 Machine Learning Projects You Can No Longer Overlook, January; Machine Learning and Cyber Security Resources; Generative Adversarial Networks – Hot Topic in Machine Learning; Ten Myths About Machine Learning
Original Post: Top Stories, Jan 2-8: 5 Machine Learning Projects You Can No Longer Overlook, January; Machine Learning and Cyber Security Resources

Top December Stories: 50+ Data Science, Machine Learning Cheat Sheets; Machine Learning/AI: Main 2016 Developments, Key 2017 Trends

[unable to retrieve full-text content]Also Why Deep Learning is Radically Different From Machine Learning; Bayesian Basics, Explained
Original Post: Top December Stories: 50+ Data Science, Machine Learning Cheat Sheets; Machine Learning/AI: Main 2016 Developments, Key 2017 Trends

Top Stories, Dec 26-Jan 1: Game Theory Reveals the Future of Deep Learning; A Funny Look at Big Data and Data Science

Previous post Next post    Tags: Top stories Game Theory Reveals the Future of Deep Learning; A Funny Look at Big Data and Data Science; Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017; How I Detect Fake News, by Tim O’Reilly
Original Post: Top Stories, Dec 26-Jan 1: Game Theory Reveals the Future of Deep Learning; A Funny Look at Big Data and Data Science

Top Stories, Dec 19-25: Machine Learning & AI: Main Developments in 2016 and Key Trends in 2017; 4 Reasons Your Machine Learning Model is Wrong

Previous post    Tags: Top stories Machine Learning & AI: Main Developments in 2016 and Key Trends in 2017; 4 Reasons Your Machine Learning Model is Wrong (and How to Fix It); 50+ Data Science, Machine Learning Cheat Sheets; First Deep Learning for coders MOOC
Original Post: Top Stories, Dec 19-25: Machine Learning & AI: Main Developments in 2016 and Key Trends in 2017; 4 Reasons Your Machine Learning Model is Wrong

Top Stories, Dec 12-18: Data Science, Predictive Analytics 2016 Developments, 2017 Key Trends; 50+ Data Science, Machine Learning Cheat Sheets

Previous post    Tags: Top stories 50+ Data Science, Machine Learning Cheat Sheets, updated; Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017; Bayesian Basics, Explained; Data Analytics Models in Quantitative Finance and Risk Management
Original Post: Top Stories, Dec 12-18: Data Science, Predictive Analytics 2016 Developments, 2017 Key Trends; 50+ Data Science, Machine Learning Cheat Sheets

Top 2016 KDnuggets Stories: Must-Know Data Science Interview Q&A, 10 Algorithms Machine Learning Engineers Need to Know

2016 was an amazing year for KDnuggets – we published nearly 1,300 stories, reached a record 3.6 million users who visited over 10.6 million pages.Here are the most popular 2016 KDnuggets stories, as measured by unique page views. We see that KDnuggets readers want to learn to be Data Scientists and Machine Learning engineers, and are interested in algorithms, especially Deep Learning.We awarded the top most viewed and most shared blogs the 2016 KDnuggets Gold Blog badge, and numbers 4-12 receive 2016 KDnuggets Silver Blog badge. Most Viewed in 201621 Must-Know Data Science Interview Questions and Answers, by Gregory Piatetsky and KDnuggets Editors The 10 Algorithms Machine Learning Engineers Need to Know, by James Le 20 Questions to Detect Fake Data Scientists, By Andrew Fogg Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers, by Gregory Piatetsky When…
Original Post: Top 2016 KDnuggets Stories: Must-Know Data Science Interview Q&A, 10 Algorithms Machine Learning Engineers Need to Know

Top Stories, Dec 5-11: Why Deep Learning is Radically Different From Machine Learning; Data Science Trends To Look Out For In 2017

Why Deep Learning is Radically Different From Machine Learning; Data Science Trends To Look Out For In 2017; Bayesian Basics, Explained; Big Data: Main Developments in 2016 and Key Trends in 2017; 4 Cognitive Bias Key Points Data Scientists Need to Know Most Popular Last Week The 10 Algorithms Machine Learning Engineers Need to Know Why Deep Learning is Radically Different From Machine Learning Machine Learning vs Statistics Data Science Trends To Look Out For In 2017 21 Must-Know Data Science Interview Questions and Answers Free ebooks: Machine Learning with Python and Practical Data Analysis Top 20 Python Machine Learning Open Source Projects, updated Most Shared Last Week Why Deep Learning is Radically Different From Machine Learning – Dec 05, 2016. Data Science Trends To Look Out For In 2017 – Dec 08, 2016. Bayesian Basics, Explained – Dec 09,…
Original Post: Top Stories, Dec 5-11: Why Deep Learning is Radically Different From Machine Learning; Data Science Trends To Look Out For In 2017

Top November Stories: Trump, Failure of Prediction, and Lessons for Data Scientists

Also: How Bayesian Inference Works; Top 20 Python Machine Learning Open Source Projects, updated; Machine Learning vs Statistics Most Viewed Trump, Failure of Prediction, and Lessons for Data Scientists, by Gregory Piatetsky How Bayesian Inference Works, by Brandon Rohrer Top 20 Python Machine Learning Open Source Projects, updated, by Prasad Pore Top 10 Amazon Books in Data Mining, 2016 Edition, by Matthew Mayo Learn Data Science for Excellence and not just for the Exams An Intuitive Explanation of Convolutional Neural Networks Data Science 101: How to get good at R Eight Things an R user Will Find Frustrating When Trying to Learn Python Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed Combining Different Methods to Create Advanced Time Series Prediction Most Shared Trump, Failure of Prediction, and Lessons for Data Scientists, by Gregory Piatetsky Learn Data Science for Excellence and…
Original Post: Top November Stories: Trump, Failure of Prediction, and Lessons for Data Scientists

Top Stories, Nov 28-Dec 4: Machine Learning vs Statistics; Hard Thing About Deep Learning; Developers’ Machine Learning Intro

Machine Learning vs Statistics; The hard thing about deep learning; Top 20 Python Machine Learning Open Source Projects, updated; Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed; Introduction to Machine Learning for Developers Most Popular Last Week The 10 Algorithms Machine Learning Engineers Need to Know Machine Learning vs Statistics Top 20 Python Machine Learning Open Source Projects, updated Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed 21 Must-Know Data Science Interview Questions and Answers How Bayesian Inference Works The Data Science Delusion Most Shared Last Week Machine Learning vs Statistics – Nov 29, 2016. The hard thing about deep learning – Dec 01, 2016. Introduction to Machine Learning for Developers – Nov 28, 2016. The Data Science Delusion – Nov 30, 2016. Random Forests in Python – Dec 02, 2016. Top Reasons Why Big Data, Data Science, Analytics Initiatives…
Original Post: Top Stories, Nov 28-Dec 4: Machine Learning vs Statistics; Hard Thing About Deep Learning; Developers’ Machine Learning Intro